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MIT Technology Review examines why traffic deaths remain a leading cause of preventable death despite proven, low-cost fixes like traffic calming and redesigned intersections, highlighting success stories in Hoboken, New Jersey and Edmonton, Alberta.
Waymo's driverless cars have 82% fewer injury-causing crashes than human drivers based on 271 million miles of data, as the company seeks to convince policymakers of their safety benefits amid ongoing debates.
This paper proposes a two-stage physics-constrained autoregressive transformer model to predict driver stop-go decisions and longitudinal trajectories at signalized intersections, using real-world data to enhance traffic safety.
This paper proposes a biologically inspired reinterpretation of surrogate safety measure thresholds using spiking neural networks, aligning with human braking behavior to bridge objective and subjective safety perception in automated driving.
This academic paper introduces an AI-enabled analytics framework using existing CCTV infrastructure to evaluate the impact of soft traffic interventions on vehicle speed and safety at urban intersections.